Artificial intelligence is already more ubiquitous than many people realize. Applications of AI abound, many of them powered by complex deep neural networks trained on massive data using GPUs. These applications understand when you talk to them; they can answer questions; and they can help you find information in ways you couldn’t before. Pinterest image

Today NVIDIA released a major update of the JetPack SDK with new developer tools and libraries that doubles the performance of deep learning applications on the Jetson TX1 Developer Kit, the world’s highest performance platform for deep learning on embedded systems. JetPack 2.3 is available as a free download and is focused on making it

An Oregon State University professor is training his GPU-accelerated neural network to understand and coach football. “AI will revolutionize sports,” said Alan Fern, lead researcher and computer science professor at Oregon State University. Using CUDA, Tesla K80 GPUs, and the cuDNN versions of Caffe and Torch deep learning frameworks, Fern trained his model on video

This post is Part 4 of the Deep Learning in a Nutshell series, in which I’ll dive into reinforcement learning, a type of machine learning in which agents take actions in an environment aimed at maximizing their cumulative reward. Deep Learning in a Nutshell posts offer a high-level overview of essential concepts in deep learning.